Optimal Screening Value of Vitamin D Deficiency for Distal Symmetric Polyneuropathy in Patients with Diabetes
Bibliographic record
Abstract
Objective: The cut-off value of serum 25(OH)D level for bone-skeletal and cardiovascular diseases are well defined. However, there is no current study defining the optimal cut-off value of serum 25(OH)D levels for preventing diabetic distal symmetric polyneuropathy (DSP). We aimed to evaluate the relationship between the 25(OH)D levels and the parameters of electrophysiology and Toronto Clinical Scoring System (TCSS) to obtain a cut-off value of serum 25(OH)D levels in diabetic DSP patients. Methods: This is a case-control study included 90 diabetic patients with or without diagnosed DSP who were visiting the outpatient Physical Therapy and Rehabilitation Clinic. The patients demographic data and vitamin D levels were recorded. The patients were classified according to serum 25(OH)D levels as having optimal, insufficiency, and deficiency. The electrophysiological study was conducted for the diagnosis and staging of polyneuropathy. TCSS was used to evaluate the patients neuropathic symptoms. Results: From the results of this study conducted on the 90 patients that were diagnosed with diabetes, it was found that the electrophysiological study and TCSS were significantly different in the three vitamin D groups. Regression analysis test demonstrated that 25 (OH) D level with 0.845 odds ratio is the only risk factor for the development of DSP. The serum levels of 25(OH)D below 15/18 ng/mL is associated with DSP. Conclusion: This study indicate that vitamin D deficiency is a risk factor for the development of DSP, and serum 25(OH)D level ≤ 15 ng/ml is crucial in assessing the severity of neuropathic symptoms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".